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Updated: Jan 13, 2026

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions
Published on: January 7, 2019
Source apportionment and oxidative potential of PM1 and PM2.5 in Seoul, South Korea
Taeyeon Kim1, Jiwon Ryu1, Yeonseung Cheong2
1Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea.
Abstract:
Particulate matter (PM), especially PM2.5, has been widely studied due to its adverse health effects, whereas PM1 has been relatively understudied. This study investigated the chemical constituents, source apportionment, and oxidative potential of PM1 and PM2.5 to assess the need for research and management of PM1. PM samples were collected in Seoul, South Korea, from June 2021 to March 2022 and analyzed. The dithiothreitol (DTT) assay was applied to evaluate the oxidative potential of the cold-season samples. Dispersion-normalized positive matrix factorization (DN-PMF) resolved ten sources common to both sizes: secondary nitrate, secondary sulfate, motor vehicle, biomass burning, incinerator, industry, coal combustion, soil, oil combustion, and aged sea salt. The average PM1/PM2.5 mass concentration ratio was 0.75. Secondary nitrate showed the highest PM1/PM2.5 contribution ratio (0.89), whereas industry, soil, oil combustion, and aged sea salt exhibited relatively low ratios (≤0.6). The DTT assay showed that PM1 exhibited higher oxidative potential per unit mass than PM2.5. Multiple linear regression identified secondary nitrate, biomass burning, industry, coal combustion, and soil as major sources explaining oxidative potential of PM1. For PM2.5, secondary nitrate, biomass burning, incinerator, industry, and soil were important. Biomass burning showed the highest standardized coefficient in both sizes, indicating it was the major cold season contributor to oxidative potential. Continued research on PM1 will provide valuable insights into source characteristics of PM and its health effect. Regarding PM1 management, the overlap in major sources with PM2.5 suggests that source-specific management would be effective for managing PM1 and PM2.5 simultaneously.
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